Published Online: 15 JUL 2005
Copyright © 2005 John Wiley & Sons, Ltd
Encyclopedia of Biostatistics
How to Cite
Bithell, J. F. 2005. Geographic Epidemiology. Encyclopedia of Biostatistics. 3.
- Published Online: 15 JUL 2005
Geographical analysis of epidemiologic data may be useful in modeling risk as a function of geographic covariates, testing hypotheses, mapping disease patterns, identifying areas of high risk, or detecting clusters. Distinctions are drawn between case dependence and independence (the latter not requiring a spatially correlated error structure), and between areal and continuous data. Various models are described, and attention is given to disease mapping (involving data smoothing) and clustering.
- relative risk;
- generalized linear model;
- spatial correlation;
- nearest neighbor;